Akademik Dersler - Tanıtım

Last Updated: 23/06/2026

Code - Course Title	Course Type	Laboratory + Practice	ECTS
BVA220 - Social Network Analysis	IV. SEMESTER	2 +1	3.0

Language of Instruction	Türkçe
Course Type	Area Elective Courses
Course Instructor(s)	ÖĞR. GÖR. AHMET MÜCAHİD ARVASİ
Mode of Delivery	Face to face
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Prerequisites	There are no prerequisites or corequisites for this course.
Courses Recomended
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Work Placement
Aims of the Course

Weeks	Learning Outcomes	Topics	Teaching Methods
Week - 1		Introduction to Social Network Analysis, Basic Concepts, Network Data Collection Methods, and Network Sampling Techniques
Week - 2		Network Centrality Measures: Degree, Betweenness, Closeness, and Eigenvector Centrality
Week - 3		Network Visualization Techniques and Graph Representation with Tools (Gephi, NetworkX, igraph)
Week - 4		Community Detection Algorithms, Modularity, and Clustering
Week - 5		Statistical Network Modeling: Exponential Random Graph Models (ERGM)
Week - 6		Actor-Oriented Models and Analysis of Individual Behaviors within the Network
Week - 7		Network Dynamics, Network Evolution, and Longitudinal Network Analysis
Week - 8		Midterm Exam
Week - 9		Multilevel and Multiplex Network Analysis
Week - 10		Influence and Diffusion in Networks: Information Diffusion, Epidemic Models, and Rumor Spreading
Week - 11		Network Robustness, Resilience, and Network Failure Analyses
Week - 12		Introduction to Network-Based Machine Learning: Node Classification, Link Prediction, and Graph Neural Networks (GNN)
Week - 13		Network Ethics and Privacy Issues: Data Privacy, Anonymization in Social Networks, and Ethical Violations
Week - 14		Advanced Applications: Case Studies with Real-World Data and End-of-Term Project Presentations

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Assessment Method and Passing Requirements
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